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AI automation · SMEs & mid-caps · France

AI automation Plugged into your tools by JAIKIN.

JAIKIN maps your manual tasks, quantifies the ROI and puts workflows and agents into production — a prioritised plan from the first call.

Scope my automationSee the method30 min · no commitment
  • 5/5on Google · 4 reviews
  • +130projects delivered
  • 2 htested rollback
  • 24 hfirst reply

How it works

What is AI Automation?

Automation workflow in production: JAIKIN's JARVIS WhatsApp AI agent, with its calendar and e-mail tools and its memory
JARVIS, our WhatsApp agent: a real capture of the production workflow — about thirty nodes, two calendar and e-mail sub-workflows.
  • Rules script

    • Form
    • Free-text e-mail
    • PDF, scan
    • Edge case
  • Classic automation (RPA)

    • Form
    • Free-text e-mail
    • PDF, scan
    • Edge case
  • Model, unhooked

    • Form
    • Free-text e-mail
    • PDF, scan
    • Edge case
  • AI automation — JAIKIN

    • Form
    • Free-text e-mail
    • PDF, scan
    • Edge case
Solid block: the tool family handles the input as-is. Dotted block: a human has to sit behind it.

AI automation combines artificial intelligence and process automation to transform the way your business operates. Unlike traditional automation tools (Excel macros, basic scripts) that follow rigid rules and break whenever the format changes, AI can analyse, understand and adapt to complex, unforeseen situations. In practice, this means you can automate not only simple tasks (copy-pasting between tools, sending reminder emails) but also processes requiring judgement: analysing an unstructured document, categorising a customer request, extracting data from a poorly formatted PDF, or even drafting a personalised response. AI automation works in 3 layers: the orchestration layer (iPaaS platforms) that connects your tools, the intelligence layer (GPT-5.6, Claude) that understands and decides, and the action layer that executes in your business systems (CRM, ERP, accounting).

The 3 layers of AI automation

Orchestration Layer

Orchestration platforms — connects your tools and orchestrates data flows between them

Intelligence Layer

GPT-5.6, Claude, specialised models — understands, analyses, decides and generates

Action Layer

Business APIs, CRM, ERP, accounting — executes actions in your systems

Technical choice

AI Automation vs RPA: The Definitive Comparison

Routing applied at DT INTERIM: AI where the text is free, deterministic rules everywhere else, human validation on hiring DT INTERIM · WHO DECIDES, STEP BY STEP Reading the messages free text understood AI Routing each request to the right path Rule Candidate matching sensitive use: hiring AI + human Write to the ATS structured work order Rule Incident rollback tested in 2 h Log A model is expensive and drifts: we only call it where it is the only one able to.
AI is used only at the steps where the text is free. Everywhere else, a deterministic rule costs less and does not drift.
  • IntelligenceContextual understanding, adaptation
  • Data handledStructured + unstructured (emails, PDFs, images)
  • AdaptabilityAdapts to format variations
  • Complexity handledVariable processes, with exceptions
  • LearningImproves over time with data
  • CostHigher ROI over 6-12 months
  • Ideal use caseEmails, documents, decisions, content

Our recommendation : Our recommendation: start with RPA for simple, standardised processes, then add AI where variability and decision-making are needed. Most of our clients combine both.

Proof, not a promise

Concrete Results: Businesses Transformed by AI Automation

Three clients who agreed to be named, complemented by representative projects anonymized at the client's request.

~2 FTEredeployed at DT INTERIM13,000 emails/month processed automatically
+450 %more leads at Kappelerilluminated signage manufacturer
÷3admin time at Kappeleron the same automation project

Cambacérès — Business law firm

AI-assisted (GPT) legal-act configurator running in Zero Data Retention — the AI drafts standard clauses while the lawyer keeps control over substance.

100% of acts reviewedAct templates owned by the firm. Zero client data reused for training. 100% of acts reviewed by a lawyer.

Kappeler — Illuminated-sign manufacturer (Alsace, since 1962)

CAD↔AI bridge to automatically generate plans and production tickets, AI administrative automation for CERFA filings, real-time workshop production tracking.

+450% leadsAdministrative time cut by a third. Opened a new export market (Germany).

B2C E-commerce — 50 employees

Automated pipeline: order → AI verification → invoicing → D+3/D+15/D+30 reminders. Support chatbot for tracking requests.

Invoicing made reliable15h/week recovered. DSO reduced by 12 days. Customer satisfaction up.

« Beyond the quality of the development itself, we valued their expertise on strategic AI and Data topics, with data sovereignty addressed from day one. What truly sets Jaikin apart is their commitment well beyond project delivery. We recommend Jaikin without hesitation. »

ArdoSaaS — legal sector

Automate without breaking everything 30-min diagnostic — flows, ROI, risk and next step.

Book 30 min

What nobody will tell you

The world's best model fails on 3 business workflows out of 4

AutomationBench July 2026: the best model succeeds on 26 % of enterprise workflows, others cap between 17 and 18.1 %; the remaining 74 % is engineering AUTOMATIONBENCH · JULY 2026 Best available model 26,0 % Other leading models 17,0 – 18,1 % What still has to be built around it 74 %: engineering 26 % Spec, data, guardrails, error recovery, human checkpoints — that is where the project is won.
The model is only a quarter of the problem. The other three quarters are engineering — and they are billed as such.

AutomationBench is the test that measures business workflows, not laboratory puzzles. On the official benchmark table published at the release of Claude Opus 5, the best available model scores 26,0 %. The other reference models plateau between 17,0 % and 18,1 %. Our full reading of the table.

An automation project is not won on the 26 % the model gets right on its own. It is won on the remaining 74 %: process specification, data quality, guardrails, error recovery, checkpoints. That is engineering — that is our work, and that is the question to put to anyone who approaches you.

Method

Our 5-Step Methodology

A proven process to guarantee the success of your AI automation

Five-step method: numbered baseline, proof of concept, logged build, cutover with tested rollback, then before/after measurement that picks the next process FROM THE NUMBER BEFORE TO THE NUMBER AFTER 1 Baseline one month of counted flow, target ROI set 2 POC priority process tested, edge cases listed 3 Build actions logged, approvals in place 4 Cutover 2 h rollback tested, code and access handed over 5 Follow-up before/after measured in production Measurement does not close the mission: it picks the next process.
The loop is closed: the measurement that follows go-live is the starting point of the next project.
  1. Audit & Discovery · 1 week

    Mapping your processes, identifying quick wins and high-ROI automations. Deliverable: prioritised roadmap.

  2. Proof of Concept · 1-2 weeks

    Working prototype on your priority use case. Validation with your teams, measuring initial gains.

  3. Build & Integration · 2-4 weeks

    Full development, connection to your tools, edge case handling, thorough testing.

  4. Deployment & Training · 1 week

    Progressive rollout, team training, complete documentation.

  5. Continuous Optimisation · Ongoing

    KPI monitoring, adjustments, extension to new processes. Responsive support and evolution with your needs.

Investment

How Much Does AI Automation Cost?

An automation starts at €2,000 for one process and ranges from €8,000 to €25,000 for a multi-department transformation. ROI is typically reached in 3 to 6 months.

Cumulative cost over twelve months: continued manual processing versus an automation project, paid back between month three and month six CUMULATIVE COST OVER 12 MONTHS Manual processing continued Automation project, then operations 3 – 6 months M0 payback M12 The status quo is not free: it is the top line
The status quo costs more than it looks: an AI automation project typically pays for itself between month 3 and month 6 — after that, it is net productivity.

Quick Win

From €2,000

1-2 simple processes · 3-5 days

  • Target process audit
  • Complete automation
  • Team training
  • 30 days of support

Transformation

€8,000 – €25,000

3-5 processes · 3-6 weeks

  • Complete process audit
  • Custom AI architecture
  • Multi-tool integrations
  • Training + documentation
  • 90 days of support

Full Transformation

Custom quote

Entire company · 2-3 months

  • Global AI strategy
  • Unlimited automations
  • Autonomous AI agents
  • Intensive training
  • Priority support 12 months
The five factors that move an automation quote, heaviest to lightest: number of systems, data quality, human control, regulatory constraints, volume WHAT MOVES THE QUOTE Number of systems to connect State of your data Human control required GDPR and AI Act constraints Volume processed 2 000 € 25 000 €
Two "automation" projects run from €2,000 to more than €25,000: here is the order in which the factors weigh.

And after that? No mandatory maintenance.

Many providers sell automation with a mandatory maintenance subscription. Not us: you own the delivered system, code included. You can run it, build others in-house, or hand the rest to whoever you want.

In practice, 100 % of our clients choose evolutionary maintenance — 1 to 15 days per month depending on the scope, without any contract imposing it.

All our projects start with a free 30-minute audit. ROI is typically achieved in 3-6 months. See our full pricing grid

Not sure which tier you fall into? Describe the process: the 30-min audit prices it, and you leave with the calculation even if we go no further.

Have my process priced

What we are asked

Frequently Asked Questions About AI Automation

Four answers — open the one that concerns you.

What is an AI automation agency and what does it do?

An AI automation agency designs and deploys systems that take over your repetitive tasks using artificial intelligence: business workflows, AI agents connected to your tools (email, CRM, ERP), document processing, reporting. Unlike a software vendor, it starts from YOUR processes to automate what costs you the most time, and stays technology-neutral. JAIKIN is an AI automation agency based in France that builds proprietary platforms — your data, your flows, no vendor lock-in.

What's the difference between AI automation and basic automation?

Basic automation connects tools with simple rules (if X then Y). AI automation adds an intelligence layer: it understands an email to categorise it, analyses a document to extract data, or generates a personalised response. It's the difference between an Excel macro and an assistant that understands your business.

How do you ensure security and GDPR compliance?

It's our top priority. We use infrastructure hosted in France/EU (OVH, Scaleway), encrypted connections (TLS 1.3), and we never store your sensitive data. For clients with strict requirements, we deploy self-hosted orchestration on your own servers. GDPR and AI Act compliance built in from design.

Which processes should an SME automate first?

Start with repetitive tasks at constant volume: customer follow-ups, qualification of inbound requests, weekly reporting, administrative document handling, first-level customer service replies. Examples from our own engagements: purchase orders converted automatically at DT INTERIM, management reports generated without manual work for a 22-employee e-commerce distributor. The right candidate: a frequent, time-consuming flow with stable rules — and a need measurable in hours per week.

Related pages : Operational AI agents · AI Consultant · Industrial AI · Odoo integrator (Learning Partner) · Compliant AI

Who delivers

Who will build your automations

No salesperson in the middle: the two profiles below scope, build and hand over the system. Technical and business skills, not a subcontracting chain.

Victor Gless-Krumhorn

Victor Gless-Krumhorn

Founder & Lead Developer

Prépa HEC, Paris-Dauphine (Finance & Wealth Management). Former UBS. Reserve NCO in the French Army. Full-Stack Developer specializing in Ruby on Rails — leads JAIKIN's technical strategy and product direction.

Ruby on RailsFinanceProduct Strategy

LinkedInGitHub

Patrick Eiermann

Patrick Eiermann

Co-founder & Senior Full-Stack Developer

Epitech graduate with 8+ years of software engineering experience, specialized in Node.js and DevOps. Designed an airline ERP system, e-commerce platforms, and production SaaS applications. Owns back-end architecture and systems integration.

ArchitectureERP & SaaSIntegrations

LinkedInGitHub

A direct technical counterpart from baseline to cut-over, and a signed before/after measurement at the end of the assignment.

They trust us

Projects delivered by the JAIKIN team

« Beyond the quality of the development itself, we valued their expertise on strategic AI and Data topics, with data sovereignty addressed from day one. What truly sets Jaikin apart is their commitment well beyond project delivery. We recommend Jaikin without hesitation. »

Ardo

SaaS — legal sector

« PricingOS transformed our pricing strategy. »

Lukas Ellmann

CEO, Ellmann Consulting

« Our WhatsApp requests become structured purchase orders in seconds, on a custom staffing platform. »

DT INTERIM

HR — temporary staffing

Our commitments, in writing

You own the code

100% of the intellectual property, Git repository handed over, takeover documentation. No lock-in: another provider can take over tomorrow.

Rollback tested in 2 h

Every production release ships with a tested rollback procedure. If anything goes wrong, we are back to a stable state within 2 h.

Reply within 24 h

An expert replies to you personally within 24 hours — quote, technical question or incident.

Describe your project — quote within 24 hours

Personal reply from an expert, no commitment.

Ready to automate your processes with AI?

Book 30 min
1. 30-minute call2. Review of your processes3. Detailed, priced proposal

JAIKIN at a glance

What defines us, in five points.

Focus
AI & operational automation consultancy for industrial SMEs and mid-market companies — results-driven, with fast production rollout.
Compliance
Privacy-first AI: built GDPR & AI Act compliant, data hosted in Europe, human oversight at every step.
Method & ROI
Standard approach: ROI-focused pilots in 3 to 6 months, with success metrics defined from the scoping stage.
Integration
Odoo integrator, AI and no-code automation for industrial information systems — including existing (brownfield) environments.
Sovereign production
A sovereign production chain end to end: design, tooling and AI inference on European GPUs, outside the scope of the Cloud Act — partnering with the best models, dependent on none.

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